Machine Learning Tutorial – Numpy
Code : import pandas as detailsimport numpy as npdata={‘Father’:[10,20,40,50,6], #dictionary‘Son’:[1,3,6,9,9],}obj=details.DataFrame(data) _x_Mean=obj.loc[:,’Father’].mean()_y_Mean=obj.loc[:,’Son’].mean()print(“The Mean of Father : “+str(_x_Mean))print(“The Mean of Son : “+str(_y_Mean)) Father=[10,20,40,50,6]data=np.array(Father)print(data.mean()) Output : Numpy code Output : import numpy as npX=np.random.randn(3,2) #taking values rondomlyX=np.matrix(X)print() # print() used for new lineprint(“The Matrix x: “)print(X)print() Y=np.random.randn(2,2)Y=np.matrix(Y)print(“The Matrix Y: “)print(Y)print()print(“The Matrix XY: “) print(XY)print()print(“Arange :”)data=np.arange(16).reshape((4,4))print(data)print(data.T)print() print(X.mean())print()#printing minimum …